↓ Skip to main content

Polygenic Prediction of Weight and Obesity Trajectories from Birth to Adulthood

Overview of attention for article published in Cell, April 2019
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Citations

dimensions_citation
538 Dimensions

Readers on

mendeley
849 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Polygenic Prediction of Weight and Obesity Trajectories from Birth to Adulthood
Published in
Cell, April 2019
DOI 10.1016/j.cell.2019.03.028
Pubmed ID
Authors

Amit V. Khera, Mark Chaffin, Kaitlin H. Wade, Sohail Zahid, Joseph Brancale, Rui Xia, Marina Distefano, Ozlem Senol-Cosar, Mary E. Haas, Alexander Bick, Krishna G. Aragam, Eric S. Lander, George Davey Smith, Heather Mason-Suares, Myriam Fornage, Matthew Lebo, Nicholas J. Timpson, Lee M. Kaplan, Sekar Kathiresan

X Demographics

X Demographics

The data shown below were collected from the profiles of 672 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 849 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 849 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 149 18%
Student > Ph. D. Student 136 16%
Student > Master 82 10%
Student > Bachelor 71 8%
Other 50 6%
Other 144 17%
Unknown 217 26%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 180 21%
Medicine and Dentistry 130 15%
Agricultural and Biological Sciences 92 11%
Neuroscience 22 3%
Psychology 21 2%
Other 142 17%
Unknown 262 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1227. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 March 2024.
All research outputs
#11,694
of 25,928,676 outputs
Outputs from Cell
#94
of 17,324 outputs
Outputs of similar age
#214
of 366,832 outputs
Outputs of similar age from Cell
#3
of 174 outputs
Altmetric has tracked 25,928,676 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 17,324 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 60.1. This one has done particularly well, scoring higher than 99% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 366,832 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 174 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.